Business Analyst

As a Business Analyst for Payroll, you will work alongside a passionate and creative team of Pre-Builders, UX designers, architects and developers to bring our next-generation Payroll capabilities to market. You’ll make them easier to use while helping our clients stay compliant, manage costs, and save time. You will work closely with internal partners, clients, architects, developers, and subject matter experts across the entire product development lifecycle – from problem definition and technical solutioning through design, development, launch, adoption and continuous improvement.

To thrive in this role, you must have deep Payroll domain expertise, strong technical acumen, take command of your product, lead multiple teams’ efforts, and be a deep listener who can ask the right clarifying questions to understand the problems your stakeholders are trying to solve. You stay close to market and technology trends, anticipate our customers’ next questions, and bring new ideas into the mix. You love evangelizing your product and communicate with confidence. You also have the experience to take your product into the marketplace and position it competitively for maximum client and financial impact.

• 5+ years of experience in the Payroll domain, with strong payroll and product expertise.
• 3–5 years of experience as an enterprise B2B Product Manager, Technical Product Manager, Business Analyst, or implementation/service consultant.
• Demonstrated ability to translate complex business requirements into functional and technical requirements and work effectively with architecture and engineering teams.
• Working knowledge of enterprise architecture concepts, APIs, system integrations, data flows, and modern cloud-based product development.
• Experience working in Agile product development environments, partnering closely with engineering, UX, architecture and business stakeholders.
• Strong analytical and problem-solving skills with the ability to understand complex systems, identify dependencies, evaluate trade-offs and drive decisions.
• Experience with AI-enabled product development tools or development lifecycle practices is preferred.